Fix missing configuration in README.md and update content

README.md

@@ -1,3 +1,70 @@
+---
+title: EvalBot - Interview Analysis System
+emoji: 🤖
+colorFrom: blue
+colorTo: green
+sdk: docker
+app_file: app.py
+pinned: false
+---
 
+# 🎤 EvalBot: Automated Interview Analysis System
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Welcome to EvalBot, your AI-powered solution for comprehensive interview analysis!
+
+EvalBot helps assess candidate performance in interviews by analyzing:
+- **Voice Metrics:** Speaking rate, filler words, anxiety, confidence, and fluency.
+- **Content Analysis:** Key themes, strengths, and areas for development in responses.
+- **Speaker Identification:** Differentiating between interviewer and interviewee.
+- **Acceptance Probability:** An estimated likelihood of acceptance based on key performance indicators.
+
+## Features:
+- **Audio Analysis:** Upload audio files (WAV, MP3, M4A, FLAC) or provide URLs.
+- **Detailed PDF Reports:** Get professional, structured reports with key insights and actionable recommendations.
+- **API Access:** Integrate EvalBot's analysis capabilities into your own applications.
+
+## How to Use the API:
+
+You can interact with EvalBot's API using the `gradio_client` library in Python.
+
+1.  **Install the client:**
+    ```bash
+    pip install gradio_client
+    ```
+
+2.  **Use the API to analyze audio (accepts multiple URLs):**
+
+    ```python
+    from gradio_client import Client, handle_file
+    import os
+
+    # Replace with your actual Space URL (e.g., [https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME](https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME))
+    SPACE_URL = "[https://huggingface.co/spaces/norhan12/YOUR_NEW_SPACE_NAME](https://huggingface.co/spaces/norhan12/YOUR_NEW_SPACE_NAME)" # REMEMBER TO UPDATE THIS
+    
+    # Ensure your Hugging Face Access Token is set as an environment variable (for private spaces)
+    # HF_ACCESS_TOKEN = os.getenv("HF_TOKEN") 
+    
+    client = Client(SPACE_URL) # , hf_token=HF_ACCESS_TOKEN # Uncomment if your space is private
+
+    # List of audio URLs to analyze
+    audio_interview_urls = [
+        "[https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3](https://www.soundhelix.com/examples/mp3/SoundHelix-Song-1.mp3)",
+        "[https://www.soundhelix.com/examples/mp3/SoundHelix-Song-2.mp3](https://www.soundhelix.com/examples/mp3/SoundHelix-Song-2.mp3)",
+        # Add more URLs as needed
+    ]
+
+    try:
+        result = client.predict(
+            file=handle_file(audio_interview_urls),
+            api_name="/analyze_multiple_audios" # Ensure this matches your function name in app.py
+        )
+
+        print("Combined Analysis Summary:", result[0])
+        print("Detailed Analysis (JSON Array):", result[1])
+        print("Downloadable PDF Paths:", result[2])
+
+    except Exception as e:
+        print(f"An error occurred while calling the API: {e}")
+    ```
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference